Semantic technology : 9th Joint International Conference, JIST 2019, Hangzhou, China, November 25-27, 2019, Proceedings /: 9th Joint International Conference, JIST 2019, Hangzhou, China, November 25-27, 2019, Proceedings. (2020)

• Record Type: Book
• Other Titles: JIST 2019
• Further Information: Note: Xin Wang, Francesca Alessandra Lisi, Guohui Xiao, Elena Botoeva (eds.).
• Other Names: Wang, Xin; Lisi, Francesca A; Xiao, Guohui; Botoeva, Elena; Joint International Semantic Technology Conference, 9th
• Contents: Intro -- Preface -- Organization -- Contents -- Incorporating Term Definitions for Taxonomic Relation Identification -- 1 Introduction -- 2 Related Work -- 3 The Proposed Method -- 3.1 The Baseline System -- 3.2 Our Proposed Model -- 4 Experiments and Analysis -- 4.1 Dataset -- 4.2 Experimental Settings -- 4.3 Performance on Specific and Open Domain Datasets -- 4.4 Error Analysis -- 5 Conclusion -- References -- Report on the First Knowledge Graph Reasoning Challenge 2018 -- 1 Background and Goal of the Challenge -- 2 Knowledge Graph Construction -- 2.1 Process of Holding the Challenge 2.2 Details of the Schema -- 3 Approach for Estimation and Reasoning Techniques -- 3.1 Submission of NRI -- 3.2 Submission of Team Kamikotanaka 411, Fujitsu -- 3.3 Submission of Team FLL-ML, Fujitsu -- 3.4 Submission of Nagoya Institute of Technology -- 4 Evaluation -- 4.1 Basic Information -- 4.2 Expert Evaluation -- 4.3 General Examination -- 4.4 Evaluation Results -- 5 Related Work -- 6 Conclusion and Future Work -- References -- Violence Identification in Social Media -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Knowledge Base Construction Stage 3.2 Social Media Data Collection -- 3.3 Knowledge Processing Stage -- 3.4 Violence Domain Identification -- 4 Evaluation -- 4.1 Discussion of the Evaluation -- 5 Conclusions -- References -- Event-Oriented Wiki Document Generation -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Topic Template Induction -- 3.2 Topic Summary Generation -- 4 Dataset Construction -- 5 Experiments -- 5.1 Dataset -- 5.2 Topic Template Induction -- 5.3 Topic Summary Generation -- 6 Conclusion -- References -- A Linked Data Model-View-* Approach for Decoupled Client-Server Applications -- 1 Introduction 2 Related Work -- 3 Preliminaries -- 3.1 Model-View-* Patterns -- 3.2 Entity-Component-Attribute Data Model -- 3.3 Linked Data Platform -- 3.4 Richardson Maturity Model -- 4 Server-Side Linked Data Generation -- 4.1 Linked Data Representation of Runtime Data -- 4.2 RESTful Operations on Runtime Data: -- 4.3 Realtime Subscription Pub/Sub: -- 5 Client-Side Data Access Layer Generation -- 6 Discussion -- 6.1 MVPVM Pattern in Resulting Architecture -- 6.2 RMM-Compliance of Server Interfaces -- 7 Conclusion and Future Work -- References JECI: A Joint Knowledge Graph Embedding Model for Concepts and Instances -- 1 Introduction -- 2 Preliminaries -- 3 JECI Model -- 3.1 Hierarchical Tree Generator -- 3.2 Context Vector Generator -- 3.3 Embeddings Learner -- 4 Experiments -- 4.1 Datasets -- 4.2 Link Prediction -- 4.3 Triple Classification -- 4.4 Limitations -- 5 Conclusion -- References -- Enhanced Entity Mention Recognition and Disambiguation Technologies for Chinese Knowledge Base Q & A -- 1 Introduction -- 2 Related Work -- 2.1 Mention Recognition Research -- 2.2 Entity Disambiguation Research -- 3 Topic Entity Mention Recognition
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource (398 pages)
• Subjects: 006; Semantic computing -- Congresses; Linked data -- Congresses; Data warehousing -- Congresses; Data mining -- Congresses; Data mining; Data warehousing; Linked data; Semantic computing; Electronic books; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783030414078; 3030414078
• Related ISBNs: 9783319501116
• Notes: Note: Print version record.
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• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.